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Journal ArticleDOI

Design of an interval Type-2 fuzzy model with justifiable uncertainty

TLDR
A design methodology for a Mamdani based Interval Type-2 Fuzzy Logic System (MAM-IT2FLS) with Center-Of-Sets defuzzification is presented, using descriptive statistics and granular computing theory to better define the limits of uncertainty within the Intervaltype-2 Membership Functions (IT2MF) as extracted from available data.
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This article is published in Information Sciences.The article was published on 2020-03-01. It has received 69 citations till now. The article focuses on the topics: Defuzzification & Fuzzy logic.

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Citations
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Journal ArticleDOI

Asynchronous Fault Detection for Interval Type-2 Fuzzy Nonhomogeneous Higher Level Markov Jump Systems With Uncertain Transition Probabilities

TL;DR: Based on the interval type-2 fuzzy (IT2F) approach, the authors investigates the fault detection filter design problem for a class of nonhomogeneous higher level Markov jump systems with uncertain transition probabilities.
Journal Article

An adjusted boxplot for skewed distributions

TL;DR: An adjustment of the boxplot is presented that includes a robust measure of skewness in the determination of the whiskers, which results in a more accurate representation of the data and of possible outliers.
Journal ArticleDOI

A normal wiggly hesitant fuzzy MABAC method based on CCSD and prospect theory for multiple attribute decision making

TL;DR: A new distance measure and new operational laws of NWHFSs are defined, and an extended CCSD method is proposed to produce attribute weights objectively, which comprehensively uses standard deviation (SD) and correlation coefficient (CC).
Journal ArticleDOI

Model-Free Control of Finger Dynamics in Prosthetic Hand Myoelectric-based Control Systems

TL;DR: The control system design and tuning is usually carried out in a model-based manner that requires accurate models of the human hand, which is essentially a Multi Input-Multi Output (MIMO) nonlinear dynamical system.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI

An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller

TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.
Journal ArticleDOI

FCM: The fuzzy c-means clustering algorithm

TL;DR: A FORTRAN-IV coding of the fuzzy c -means (FCM) clustering program is transmitted, which generates fuzzy partitions and prototypes for any set of numerical data.
Journal ArticleDOI

A validity measure for fuzzy clustering

TL;DR: The authors present a fuzzy validity criterion based on a validity function which identifies compact and separate fuzzy c-partitions without assumptions as to the number of substructures inherent in the data.
Journal ArticleDOI

Interval Type-2 Fuzzy Logic Systems Made Simple

TL;DR: This paper demonstrates that it is unnecessary to take the route from general T2 FS to IT2 FS, and that all of the results that are needed to implement an IT2 FLS can be obtained using T1 FS mathematics.
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